Predicts fish weight using parameters such as length, height, and width through regression models.

Estimates fish growth rate based on feeding schedules, water conditions, and species type.

Applies machine learning to predict water quality status and alert farmers for timely action.

Identifies fish species from physical characteristics and image-based recognition models.

Uses deep learning and computer vision for early fish disease diagnosis through image analysis.